![](https://profiles.ucalgary.ca/modules/ucalgary/ucws_common/ucws_profile/templates/images/profile_header_4_1920x300.jpg)
![Leanne Dawson](https://profiles.ucalgary.ca/sites/default/files/styles/ucws_profile_picture/public/2022-08/NSERC_Dawson_Leanne.jpg?itok=uIIUhyMb)
Leanne Dawson
Positions
Assistant Professor (Teaching)
Schulich School of Engineering, Department of Electrical and Software Engineering
Contact information
Background
Educational Background
BSc Electrical Engineering, University of Calgary, 2013
MSc Electrical Engineering, University of Calgary, 2016
PhD Electrical Engineering, University of Calgary, 2023
Biography
I am an Assistant Professor in Software Engineering (teaching stream) at the University of Calgary. I mainly teach machine learning and introduction to programming courses for undergraduate and graduate engineering students. I finished my PhD in Electrical Engineering at the University of Calgary in June 2023. I completed my Master's Degree in Electrical Engineering at the University of Calgary in August 2016. I completed my Bachelor's Degree in Electrical Engineering at the University of Calgary in April 2013. My graduate research focused on the potential implementation of dynamic line rating in Alberta, using machine learning to analyze large weather data sets. I am passionate about education, focused on investigating the application of EDI principles in course design to help improve the quality of learning for engineering students coming through the program at the University of Calgary, and the application of generative AI and other software tools in engineering education. I am also passionate about empowering students through leadership and professional development training.
As a teaching-stream professor, I do not have funding for graduate students. If you are an undergraduate student interested in doing summer research in engineering education, please email me to discuss potential opportunities.
Research
Areas of Research
Courses
Course number | Course title | Semester |
---|---|---|
ENEL 682 | Applied Machine Learning and Predictive Analytics | Winter 2024 |
ENSF 544 | Data Science for Software Engineers | Winter 2024 |
ENSF 611 | Machine Learning for Software Engineers | Fall 2023 |
ENDG 233 | Programming with Data | Fall 2023 |
ENEL 682 | Applied Machine Learning and Predictive Analytics | Winter 2023 |
ENSF 611 | Machine Learning for Software Engineers | Winter 2023 |
ENDG 233 | Programming with Data | Fall 2022 |
ENDG 233 | Programming with Data | Fall 2021 |
Awards
- Schulich Excellence Award - Undergraduate Training, University of Calgary. 2023
- Schulich Excellence Award - EDIA, University of Calgary. 2023
- IEEE Canadian Foundation Women in Engineering Prize, IEEE. 2020
- Vanier Canadian Graduate Scholarship, NSERC. 2018
- NSERC Postgraduate Scholarship-Doctoral, NSERC. 2018
- Michael Lazar Community Service Award, University of Calgary. 2018
- Alberta Innovates Graduate Student Scholarship, Alberta Innovates. 2017
- TA Excellence Award, Schulich School of Engineering. 2017
Publications
- Using Machine Learning to Identify Spatial Dynamic Thermal Line Rating Patterns. L. Dawson and A. M. Knight. In Preparation. (2022)
- Investigating the Impact of a Dynamic Thermal Rating on Wind Farm Integration. L. Dawson and A. M. Knight. IET Generation, Transmission & Distribution. (2023)
- Prediction Intervals of Dynamic Thermal Line Rating Forecasting for Wind Power Integration. S. Karimi, L. Dawson, P. Musilek and A. M. Knight. Forecasting (Submitted). (2022)
- Forecast of transmission line clearance using quantile regression‐based weather forecasts. S. Karimi, L. Dawson, P. Musilek and A. M. Knight. IET Generation, Transmission & Distribution. (2021)
- Applicability of Dynamic Thermal Line Rating for Long Lines. L. Dawson and A. M. Knight. IEEE Transactions on Power Delivery. 719–727. (2018)
- Investigating the Feasibility of Dynamic Thermal Line Rating using Historical Weather Patterns. L. Dawson and A. M. Knight. CIGRE Canada Conference. (2018)
- Quantifying the Risk in Dynamic Thermal Line Rating. L. Dawson, S. Karimi and A. M. Knight. CIGRE Paris Sessions. (2018)
- Transmission line length, operating condition and rating regime. L. Dawson and A. M. Knight. IEEE Canadian Conference in Electrical and Computer Engineering (CCECE). 1046–1051. (2016)
Are you the profile owner?
Login to edit.